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Using wavelets to synthesize stochastic-based sounds for immersive virtual environments (1997)
| Content Provider | CiteSeerX |
|---|---|
| Author | Miner, Nadine E. Caudell, Thomas P. |
| Description | in Proc. International Conference on Auditory Display Stochastic, or non-pitched, sounds fill our real world environment. Humans almost continuously hear stochastic sounds such as wind, rain, motor sounds, and different types of impact sounds. Because of their prevalence in real-world environments, it is important to include these types of sounds for realistic virtual environment simulations. This paper describes a synthesis approach that uses wavelets for modeling stochastic-based sounds. Parameterizations of the wavelet models yield a variety of related sounds from a small set of models. The result is dynamic sound models that can change according to changes in the virtual environment. This paper contains a description of the sound synthesis process, several developed models, and the on-going perceptual experiments for validating the sound synthesis veracity. The developed models and results demonstrate proof of the concept and illustrate the potential of this approach. |
| File Format | |
| Language | English |
| Publisher Date | 1997-01-01 |
| Access Restriction | Open |
| Subject Keyword | Realistic Virtual Environment Simulation Different Type Wavelet Model Real-world Environment Motor Sound Dynamic Sound Model Impact Sound Stochastic-based Sound Sound Synthesis Veracity Immersive Virtual Environment Hear Stochastic Sound Real World Environment Small Set Synthesis Approach Virtual Environment Related Sound Sound Synthesis Process Developed Model On-going Perceptual Experiment |
| Content Type | Text |
| Resource Type | Article |
